Implementation Method of a Novel Immune Algorithm

This document introduces a novel MATLAB-based implementation methodology for immune algorithms. The proposed algorithm features simplicity and practicality while maintaining complete freedom from redundant components. Through this implementation framework, we can effectively address diverse optimization problems and achieve superior computational results. The algorithm employs key immune system principles including antigen recognition, antibody generation, and memory cell mechanisms through MATLAB's matrix operations and function handles. Implementation highlights include: - Efficient population initialization using MATLAB's vectorized operations - Affinity calculation through customizable distance functions - Clonal selection and mutation operations via element-wise matrix manipulations - Dynamic parameter adjustment through modular function design This new immune algorithm implementation opens numerous opportunities for solving complex real-world challenges by providing a robust framework for system optimization and process improvement. The MATLAB-based approach ensures seamless integration with existing technical workflows while offering extensible architecture for custom modifications. Consequently, this innovative immune algorithm implementation significantly expands possibilities for enhanced research outcomes and practical applications in optimization domains.